Data Mining

Data Mining and Information Systems: Quo Vadis?.- Confirmatory data analysis.- Response-Based Segmentation Using Finite Mixture Partial Least Squares.- Knowledge discovery from supervised learning.- Building Acceptable Classification Models.- Mining Interesting Rules Without Support Requirement: A General Universal Existential Upward Closure Property.- Classification Techniques and Error Control in Logic Mining.- Classification analysis.- An Extended Study of the Discriminant Random Forest.- Prediction with the SVM Using Test Point Margins.- Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers.- The Impact of Small Disjuncts on Classifier Learning.- Hybrid data mining procedures.- Predicting Customer Loyalty Labels in a Large Retail Database: A Case Study in Chile.- PCA-based Time Series Similarity Search.- Evolutionary Optimization of Least-Squares Support Vector Machines.- Genetically Evolved kNN Ensembles.- Web-mining.- Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems.- Using Web Text Mining to Predict Future Events: A Test of the Wisdom of Crowds Hypothesis.- Privacy-preserving data mining.- Avoiding Attribute Disclosure with the (Extended) p-Sensitive k-Anonymity Model.- Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data.